{!../../docs_src/websockets/tutorial001.py!}
```

您可以接收和发送二进制、文本和 JSON 数据。

## 尝试一下

如果您的文件名为 `main.py`，请使用以下命令运行应用程序：

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

在浏览器中打开 <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a>。

您将看到一个简单的页面，如下所示：

  <exclude name="**/testing/**"/>
</source>

<!--
    We used to set this only for packages that had manual supersource. That
    worked everywhere that I know of except for one place: when running the GWT
    util.concurrent tests under Guava.

    The problem is that GWT responds poorly to two .gwt.xml files in the same
    Java package; see

			t.Errorf("Test %d: expected: %s, got: %s", i+1, expectedStr, str)
		}
		os.Unsetenv("MARATHON_APP_LABEL_DCOS_PACKAGE_VERSION")
		os.Unsetenv(testCase.envName)
	}
}

// Tests if the environment we are running is in DCOS.
func TestIsDCOS(t *testing.T) {
	t.Setenv("MESOS_CONTAINER_NAME", "mesos-1111")
	dcos := IsDCOS()
	if !dcos {
		t.Fatalf("Expected %t, got %t", true, dcos)
	}
	os.Unsetenv("MESOS_CONTAINER_NAME")

## How to Test Your Changes to TensorFlow

You may check how your changes will affect TensorFlow by:

1. Creating a PR and observing the presubmit test results
2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job

x-minio-common: &minio-common
  image: minio/minio:${MINIO_VERSION}
  command: server http://minio{1...4}/data{1...3}
  env_file:
    - ./minio.env
  expose:
    - "9000"
    - "9001"

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - data1-1:/data1

val DslContext.uuidPrefix: String
    get() = settingsRoot.id.toString().substringAfter("Gradle")

data class VersionedSettingsBranch(val branchName: String) {
    /**
     * 0~23.
     * To avoid nightly promotion jobs running at the same time,
     * we run each branch on different hours.
     * master - 0:00
     * release - 1:00
     * release6x - 2:00
     * release7x - 3:00
     * ...
     * releaseNx - (N-4):00
     */

// token will receive heal status records from the running heal
// sequence.
//
// If no client token is provided, and a heal sequence is in progress
// an error is returned with information about the running heal
// sequence. However, if the force-start flag is provided, the server
// aborts the running heal sequence and starts a new one.

    # MINIO_ROOT_USER: minioadmin
    # MINIO_ROOT_PASSWORD: minioadmin
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - data1-1:/data1

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

<span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
```

</div>

////

//// tab | Hypercorn

<div class="termy">

```console
$ hypercorn main:app --bind 0.0.0.0:80

Running on 0.0.0.0:8080 over http (CTRL + C to quit)
```

</div>

////

/// warning | "Achtung"

This platform is agnostic to what exactly the purpose of the work is.
It might be creating an application, setting up development environments, orchestrating deployments, running simulations, etc.

This platform does not provide special support for a particular kind of automation. This is the responsibility of other platforms.

It is made up of 3 architecture modules: